Senior Machine Learning Engineer, AI Platform

DeepCamp

Berlin

Hybrid

EUR 90,000 - 140,000

Full time

14 days+

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Job summary

Smartly is seeking a Senior Machine Learning Engineer to join the AI Platform Team in Berlin with remote/hybrid options. You will own ML-based software systems that empower marketers to create effective ad campaigns and experiences.

You will work with diverse data, including images, video, audio, text, and structured data, helping productionize ML applications and strengthen the data platform. You will collaborate with senior ML engineers, data scientists and software engineers to drive

Qualifications

  • 5+ years of experience developing and deploying production-quality software
  • 2+ years delivering software services powered by machine learning
  • 2+ years experience with cloud infrastructure such as AWS or GCP
  • Fluent in Python; experience with C++ or Java is a plus
  • Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
  • Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)
  • Experience in feature engineering, model evaluation, diagnostics, and monitoring
  • Strong foundation in linear algebra, statistics, and calculus
  • Experience building scalable data pipelines for ML-based data processing
  • Strong written and verbal communication skills in English

Responsibilities

  • Build ML-based software systems that enable users to craft advertising experiences and campaigns
  • Work with large datasets across image, video, audio, text and structured data
  • Contribute to and strengthen Smartly's MLOps + data platform
  • Collaborate with engineers, data scientists, and stakeholders to productionize ML applications
  • Participate in planning, retrospectives and team improvements

Skills

Python
AWS/GCP
ML frameworks
MLOps
English

Education

MSc in a relevant field

Tools

PyTorch
TensorFlow
MLflow
Kubeflow
Docker

Job description

Smartly# Senior Machine Learning Engineer, AI PlatformBerliini, Berliini, Saksa · REMOTEFree account · 30 seconds## About the roleWe are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you're a growth minded individual who has a passion for ML and the marketing space, this team is for you! As a Senior Machine Learning Engineer, you'll: Build ML-based software systems that enable our users to craft great advertising experiences and campaigns Work with a large span of datasets from image to video to audio to text to structured performance data. Contribute to and strengthen Smartly's MLOps + data platform. You'll work alongside our stellar senior machine learning engineers, data scientists, and software engineers to enable us to productionize AI/ML applications more robustly and efficiently. Be a core contributor of our team and our ways of working to build high impact products. You'll actively be involved in work planning, retrospectives, and overall team improvement. Impact the daily life of the staff of the hundreds of advertisers using Smartly Work with our stakeholders - be them product, engineering, infrastructure - to ensure we meet customers where they are. As with most ML-related roles, being able to translate business/product needs to viable solutions is a must. Apply and enhance your soft skills through working closely with your colleagues and our customers. Doing knowledge shares, running productive meetings, and pair programming/debugging are just some ways we grow our soft skills. Keep up to date with the latest ML innovations, especially in areas such as generative AI, computer vision, natural language processing and explainability. What we are looking for: 5+ years of### experiencedeveloping and deploying production-quality software 2+ years of### experiencedelivering software services powered by machine learning 2+ years of### experienceworking with cloud infrastructure such as AWS or GCP Fluent in Python;### experiencewith C++ or Java is a plus Hands-on### experiencewith modern ML frameworks (e.g., PyTorch, TensorFlow) Knowledge of MLOps concepts and tools (e.g., MLflow, Kubeflow)### Experiencein feature engineering, model evaluation, diagnostics, and monitoring Strong foundation in linear algebra, statistics, and calculus### Experiencebuilding scalable data pipelines for ML-based data processing### Experiencedeveloping and maintaining services under SLA Analytical mindset with a problem-solving approach Passion for solving customer challenges quickly while making thoughtful architectural decisions Adaptability and resilience when facing new or ambiguous challenges Strong written and verbal communication skills in English M.Sc. in a relevant field is preferred Ability and willingness to work in a hybrid capacity from our office 3 days a week What We Offer You At Smartly, we offer a place where you can advance your career. Here, you'll find: An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged. Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth. Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave. Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive### compensation, and career development opportunities. Flexible Hybrid Workplace:### Experience## Skills this role needsNot yet in DeepCamp: digital\\_therapeutics social\\_media\\_marketing video\\_marketing
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